{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "############################  糖尿病发病预测 — 数据探索 ############################\n",
    "# 工具包导入\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "import seaborn as sn\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Pregnancies</th>\n",
       "      <th>Glucose</th>\n",
       "      <th>BloodPressure</th>\n",
       "      <th>SkinThickness</th>\n",
       "      <th>Insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>DiabetesPedigreeFunction</th>\n",
       "      <th>Age</th>\n",
       "      <th>Outcome</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6</td>\n",
       "      <td>148</td>\n",
       "      <td>72</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>33.6</td>\n",
       "      <td>0.627</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>85</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>26.6</td>\n",
       "      <td>0.351</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
       "      <td>183</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>23.3</td>\n",
       "      <td>0.672</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>89</td>\n",
       "      <td>66</td>\n",
       "      <td>23</td>\n",
       "      <td>94</td>\n",
       "      <td>28.1</td>\n",
       "      <td>0.167</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>137</td>\n",
       "      <td>40</td>\n",
       "      <td>35</td>\n",
       "      <td>168</td>\n",
       "      <td>43.1</td>\n",
       "      <td>2.288</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Pregnancies  Glucose  BloodPressure  SkinThickness  Insulin   BMI  \\\n",
       "0            6      148             72             35        0  33.6   \n",
       "1            1       85             66             29        0  26.6   \n",
       "2            8      183             64              0        0  23.3   \n",
       "3            1       89             66             23       94  28.1   \n",
       "4            0      137             40             35      168  43.1   \n",
       "\n",
       "   DiabetesPedigreeFunction  Age  Outcome  \n",
       "0                     0.627   50        1  \n",
       "1                     0.351   31        0  \n",
       "2                     0.672   32        1  \n",
       "3                     0.167   21        0  \n",
       "4                     2.288   33        1  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 数据导入\n",
    "datas = pd.read_csv(r'C:\\Users\\HuangSX\\Desktop\\logistic\\pima-indians-diabetes .csv')\n",
    "\n",
    "# 数据探索：字段类型、变量离散性及是否缺失\n",
    "datas.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 768 entries, 0 to 767\n",
      "Data columns (total 9 columns):\n",
      " #   Column                    Non-Null Count  Dtype  \n",
      "---  ------                    --------------  -----  \n",
      " 0   Pregnancies               768 non-null    int64  \n",
      " 1   Glucose                   768 non-null    int64  \n",
      " 2   BloodPressure             768 non-null    int64  \n",
      " 3   SkinThickness             768 non-null    int64  \n",
      " 4   Insulin                   768 non-null    int64  \n",
      " 5   BMI                       768 non-null    float64\n",
      " 6   DiabetesPedigreeFunction  768 non-null    float64\n",
      " 7   Age                       768 non-null    int64  \n",
      " 8   Outcome                   768 non-null    int64  \n",
      "dtypes: float64(2), int64(7)\n",
      "memory usage: 54.1 KB\n"
     ]
    }
   ],
   "source": [
    "datas.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Pregnancies</th>\n",
       "      <th>Glucose</th>\n",
       "      <th>BloodPressure</th>\n",
       "      <th>SkinThickness</th>\n",
       "      <th>Insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>DiabetesPedigreeFunction</th>\n",
       "      <th>Age</th>\n",
       "      <th>Outcome</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.845052</td>\n",
       "      <td>120.894531</td>\n",
       "      <td>69.105469</td>\n",
       "      <td>20.536458</td>\n",
       "      <td>79.799479</td>\n",
       "      <td>31.992578</td>\n",
       "      <td>0.471876</td>\n",
       "      <td>33.240885</td>\n",
       "      <td>0.348958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.369578</td>\n",
       "      <td>31.972618</td>\n",
       "      <td>19.355807</td>\n",
       "      <td>15.952218</td>\n",
       "      <td>115.244002</td>\n",
       "      <td>7.884160</td>\n",
       "      <td>0.331329</td>\n",
       "      <td>11.760232</td>\n",
       "      <td>0.476951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.078000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>27.300000</td>\n",
       "      <td>0.243750</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>117.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>30.500000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>0.372500</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.000000</td>\n",
       "      <td>140.250000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>127.250000</td>\n",
       "      <td>36.600000</td>\n",
       "      <td>0.626250</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>17.000000</td>\n",
       "      <td>199.000000</td>\n",
       "      <td>122.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>846.000000</td>\n",
       "      <td>67.100000</td>\n",
       "      <td>2.420000</td>\n",
       "      <td>81.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Pregnancies     Glucose  BloodPressure  SkinThickness     Insulin  \\\n",
       "count   768.000000  768.000000     768.000000     768.000000  768.000000   \n",
       "mean      3.845052  120.894531      69.105469      20.536458   79.799479   \n",
       "std       3.369578   31.972618      19.355807      15.952218  115.244002   \n",
       "min       0.000000    0.000000       0.000000       0.000000    0.000000   \n",
       "25%       1.000000   99.000000      62.000000       0.000000    0.000000   \n",
       "50%       3.000000  117.000000      72.000000      23.000000   30.500000   \n",
       "75%       6.000000  140.250000      80.000000      32.000000  127.250000   \n",
       "max      17.000000  199.000000     122.000000      99.000000  846.000000   \n",
       "\n",
       "              BMI  DiabetesPedigreeFunction         Age     Outcome  \n",
       "count  768.000000                768.000000  768.000000  768.000000  \n",
       "mean    31.992578                  0.471876   33.240885    0.348958  \n",
       "std      7.884160                  0.331329   11.760232    0.476951  \n",
       "min      0.000000                  0.078000   21.000000    0.000000  \n",
       "25%     27.300000                  0.243750   24.000000    0.000000  \n",
       "50%     32.000000                  0.372500   29.000000    0.000000  \n",
       "75%     36.600000                  0.626250   41.000000    1.000000  \n",
       "max     67.100000                  2.420000   81.000000    1.000000  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 数据探索：数据特征(均值、标准差、最小值、1\\4分量、1\\2分量、3\\4分量)\n",
    "datas.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 数据探索：可视化分析\n",
    "\"\"\"\n",
    "    Pregnancies - 怀孕（单位：次数）\n",
    "    Glucose - 血浆葡萄糖浓度\n",
    "    BloodPressure - 血压（单位：mm Hg）\n",
    "    SkinThickness - 三头肌皮褶厚度（单位：mm）\n",
    "    Insulin - 餐后血清胰岛素（单位：mm）\n",
    "    BMI - 体重指数（体重（公斤）/ 身高（米）^2）\n",
    "    DiabetesPedigreeFunction - 糖尿病家系作用\n",
    "    Age - 年龄\n",
    "\"\"\"\n",
    "# 直方图：数据整体分布情况 — 纵轴为”样本数量(频率)“，横轴为”特征变量值”\n",
    "features = ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', \n",
    "            'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age']\n",
    "for i in range(1, 8):    \n",
    "    ax = plt.subplot(3, 3, i)\n",
    "    # 设置直方图的主题\n",
    "    ax.set_title(features[i])\n",
    "    # 取数并展示\n",
    "    datas[features[i]].hist(figsize=(20,15))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'frequency')"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 数据探索：绘制变量与Outcome直方关系图\n",
    "\n",
    "# 绘制“发病/不发病”与“样本数量(频率)”的直方关系图：“0 - 不发病”，“1 - 发病”\n",
    "sn.countplot(datas['Outcome'])\n",
    "plt.xlabel('DiabetesPedigreeFunction')\n",
    "plt.ylabel('frequency')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'frequency')"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# “Pregnancies(怀孕次数)”与“样本数量(频率)”的直方关系图\n",
    "sn.countplot(datas['Pregnancies'])\n",
    "plt.xlabel('Number of Pregnancies')\n",
    "plt.ylabel('frequency')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1fb88b9f808>"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# “Pregnancies(怀孕次数)”、“Outcome(是否发病)”和“样本数量(频率)”的直方关系图\n",
    "sn.countplot(x=\"Pregnancies\", hue=\"Outcome\",data=datas)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'frequency')"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# “Glucose(血糖浓度)”与“样本数量(频率)”的直方关系图\n",
    "sn.distplot(datas.Glucose, kde=False)\n",
    "plt.xlabel('Plasma_glucose_concentration')\n",
    "plt.ylabel('frequency')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 小提琴图：可视化数据的分布状态以及密度(频率)\n",
    "# “Glucose(血糖浓度)”、“Outcome(是否发病)”和“样本数量(频率)”关系\n",
    "sn.violinplot(x='Outcome', y='Glucose', data=datas, hue='Outcome')\n",
    "plt.xlabel('Diabetes', fontsize=12)\n",
    "plt.ylabel('Plasma_glucose_concentration', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'frequency')"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# “BloodPressure(血压)”与“样本数量(频率)”的直方关系图\n",
    "sn.distplot(datas.BloodPressure, kde=False)\n",
    "plt.xlabel('BloodPressure')\n",
    "plt.ylabel('frequency')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'BloodPressure')"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 小提琴图：可视化数据的分布状态以及密度(频率)\n",
    "# “BloodPressure(血压)”、“Outcome(是否发病)”和“样本数量(频率)”关系\n",
    "sn.violinplot(x='Outcome', y='BloodPressure', data=datas, hue='Outcome')\n",
    "plt.xlabel('Diabetes', fontsize=12)\n",
    "plt.ylabel('BloodPressure', fontsize=12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'frequency')"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#  “SkinThickness(三头肌皮褶厚度)”与“样本数量(频率)”的直方图\n",
    "sn.distplot(datas.SkinThickness, kde=False)\n",
    "plt.xlabel('SkinThickness')\n",
    "plt.ylabel('frequency')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'SkinThickness')"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 小提琴图：可视化数据的分布状态以及密度(频率)\n",
    "# “SkinThickness(三头肌皮褶厚度)”、“Outcome(是否发病)”和“样本数量(频率)”关系\n",
    "sn.violinplot(x='Outcome', y='SkinThickness', data=datas, hue='Outcome')\n",
    "plt.xlabel('Diabetes', fontsize=12)\n",
    "plt.ylabel('SkinThickness', fontsize=12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'frequency')"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# “Insulin(餐后血清胰岛素)”与“样本数量(频率)”的直方关系图\n",
    "sn.distplot(datas.Insulin, kde=False)\n",
    "plt.xlabel('Insulin')\n",
    "plt.ylabel('frequency')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Insulin')"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 小提琴图：可视化数据的分布状态以及密度(频率)\n",
    "# “Insulin(餐后血清胰岛素)”、“Outcome(是否发病)”和“样本数量(频率)”关系\n",
    "sn.violinplot(x='Outcome', y='Insulin', data=datas, hue='Outcome')\n",
    "plt.xlabel('Diabetes', fontsize=12)\n",
    "plt.ylabel('Insulin', fontsize=12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'frequency')"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# “BMI(体重指数)”与“样本数量(频率)”的直方关系图\n",
    "sn.distplot(datas.BMI, kde=False)\n",
    "plt.xlabel('BMI')\n",
    "plt.ylabel('frequency')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'BMI')"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Wkpt3gJkzZwY2oAW0CFhgw4YNbM7MpKxRh4q/oGO4kzuSk52tF4iVstjChQv5eeVKrm1VSIPImk/y1K6BhwublPL++++zcePGACYMPC0CFpg7dy4S7qC8YdtqX/cktEAio5k7d67FyZQKXdnZ2bwwZTIdEjxclHbqw7pf17aYBpE+/vnkE0fmCKmLtAgEWFFREV98+SVlia3BcZy+AGFhlDZsy9KlS8nOrrbTtFKqFhljePqpCXjKShjWsYCw05juOybCMLRDPtt37GTGjBm1H9IiWgQC7Msvv8RdVnZkmIjjKW/UHmMMn332mUXJlApdn3zyCRnLV3Bdm0JSo09+Mfh4zmpYzu+aljJ79rusrqODy2kRCCBjDB9/8gkmpiG+mEYn3tYZjze+KXP/PU8vECsVQHv27GHatJfollTOxadxGuhY17ctopHLMOGfT9bJ2QK1CATQ2rVr2bply3EvCB/LndKRvNwcvv/+ewvSKRV6jDFMfO5ZxOtmaMfCmvy3PCmXA27rkM+evfvq5N1CWgQC6L333kMioihv2KZG23sSmoMzjtnvvRfgZEqFpiVLlpCxfAXXti6iofP0TwMdq3Oih35NSnnvvffq3PDwWgQCZMuWLXzz7beUNuoI4RE1e5OEUZrSmbVr1rBixYrABlQqxLjdbl6ZPo1msT76p528Z/Cp+lObYqLCfbw8fXqt7zuQtAgEgDGGadOnI45I3I27ntJ7y5M7QFQsL02bptcGlKpF8+fPZ+/+bP7UpvC07gY6mbhIw6BmRXz/ww+sWbOm9g8QIFoEAuDLL78k46efKGncAxxRp/bmMAclaWezOTOTDz/8MDABlQoxHo+Hd//1Du0aeOiW9N8TxtSW3zcrJTYS3n77rYAdo7ZpEahl+/fvZ9Lzk/HFplCe2um09uFJao0noRmvvPoq27Ztq+WESoWexYsXk52Ty6AWxbVyMfh4osLh92nFLF36I1u3bg3cgWqRFoFaVFZWxrhxD1NcWkZxq9/+OlroqRKhtMX5eHDw0EPjKCgoqN2gSoUQYwzvzX6XtFgfPRoGrhVQqX96KVHhMGfOnIAfqzZoEaglHo+Hxx9/nM2bMylq1Q/jbHBG+zOR0RS1voi9+/fx8MMP18n7j5UKBsuWLWPL1m1clh7YVkCluAjDb5uU8MWiRezbty/wBzxDlhYBEQkXkZ9FZJ5/uZWI/CgimSLynojUyTkWfT4fzz33HN988w2lzc7Fm9C8VvbrjUulpOVvWbVqFf8YP77eTGKhlFV8Ph+vvvoKydGG8xtb90Xq8ualYLzMmjXLsmOeLqtbAqOA9VWWnwImGWPaAQeB2yzOc8Z8Ph/PPvssn332GWVNe1DeuEut7t/TsA2lzfvy/Xff8eijj1JeHvjmrFL1xeeff87mzVu4ukUhDgs/7Ro6fVzctISFCxawadMm6w58Giz7ZxGRdOBy4DX/sgAXA+/7N5kFXGVVntrg8XiYMGECn376KWVNe+Bu2jMgxylP7Uxp8758++23/P3vf9dTQ0rVQG5uLlNfmEL7BA+/aWz9KJ9XtyohPqpiOIlg/vJmZUvgeeBBoLKbXkPgkDGm8hxHFpBW3RtF5A4RyRCRjJycnMAnrYGysjIeeeQRPv/8c8rSeuFO61WjoSFOV3lqZ0pb/IalS5fy4IMPUlRUFLBjKVXXlZeX89j48bhLi097lNAzFRNhuLV9Plu3beell16yPkANWVIERGQQkG2MWV51dTWbVjurgzHmFWNMb2NM7+Tk5IBkPBVFRUWMGTuW7777jtLmfXE37WHJcctTOlLS+kJWrf6FUffey6FDhyw5rlJ1iTGGZ599llWrVzO0QwGNz2CU0DPVs1E5A5qV8NFHH/HBBx/YluNErGoJnA9cKSLbgdlUnAZ6HkgQEYd/m3Rgj0V5TtuhQ4cYde+9rFy5ipJW/ShP7Wzp8T0N21Dctj9btm5j+IgRdeLuA6WsYoxh2rRpLFy4kKtbFZ/2aaC3N0WzoyCcHQXhPLkinrc3RZ92pj+1LebsRm6mTn0hKOcSt6QIGGP+ZoxJN8a0BK4DFhtjbgC+Aq7xb3YL8IkVeU7X/v37GT5iBFu2bqO4bX88jaqfKSzQvAnNKGr3B/buz2X4iBFs377dlhxKBROfz8ekSZOYM2cOl6aXcFXLktPe185CByXeMEq8YWw4FMHOQsfJ33QcYQJ/6VJAl8RyJkyYEHQzCNrdT2AMcL+IbKbiGsHrNuc5rh07djB8+Aj27s+lqN3v8SY0szWPNy6Vwg4DOFhQwsi772bDhg225lHKTmVlZTz22GPMnTuXy5uXcGM7a/oE1FRUONzbLZ8ejdxMnDiRmTNnYkzN5zQOJMuLgDFmiTFmkP/5VmPMOcaYtsaYa40xQXnbS2ZmJiPvvpsDBUUUdrgMb1xjuyMB4ItOoqDDQArL8Z+iWml3JKUsd+DAAe67dxRLvvqKP7Up4o9tgqsAVIoMh3u6FnBB41JmzpzJE088ERR3+tndEgh6a9eu5Z5Roygo81HQYSC+6IZ2RzqKccZT2GEgpeJk9OjR/Pjjj3ZHUsoymZmZ/OXOO9i8aSMjuxZweYvSoCwAlRxhcHunIq5pXcwXX3zBffeOIjc319ZMWgRO4Oeff+b++x+gxERQ2GHgGQ8FESgmMoaiDgNwR8bz0EMP8c0339gdSamA++KLLxg5YjieglzG9TxInxTr+wKcDhG4smUJd3ctYEvmRu68fRhr1661LY8WgePIyMjgwTFjKA13Udh+ACYq1u5IJ2QiXBS2v4xyV0MeeeQRlixZYnckpQLC6/Uyffp0Hn/8cVpGlzC+9wFaxde9uTf6pLj5314HCS87yL2j7uHTTz+1JYcWgWpkZGTwt7/9DbcjlqL2l2EiT//2MEs5oihq/wc8McmMHz+er776yu5EStWqgoICxo4dw+zZs7k4rZQxPQ4THxkcF1hPR7NYL4+efZAO8aU8/fTTTJ482fIxwrQIHGPVqlUVBSAirqIARLjsjnRqwiMoavd7PDEpPPbYY3z77bd2J1KqVuzdu5cRw+9ixfIMbu1QyJAORZaOBxQosRGGB7rnc5m/U9nYsWMoLi627Pgn/ScUkW9E5D8n+rEiqBU2btzImDFjKY+Ipaj9HzARzlo/RtTOpYQX5xFenIdrw6dE7Vxa68eoKASX4oluxCOPPsry5ctP/h6lglhmZiYjht9F7r4sxpx1mIvS7L+rpjaFh8Gf2xVzW8dCVixfzqh77iYvL8+SY9ekB8RrAU8RBLKzsxkzdiylOChs9/uAtQDCig8g3orBpBwF+whYw89fCGI3fsbDf/870156iZYtWwbqaEoFzObNm7l31D04TQkP9zxEemzdO/9fUxc2LSMhysfUtVsZdc/dTH3xJRISEgJ6zJO2BIwxs072E9CEFnC73Yz92984XFBEUdtLMJExdkeqHY4oitpeQqkHHhwzlsLCQrsTKXVK9uzZw4Oj/0qUr4RxPQ/W6wJQ6ayG5fy1+yH279vDmAdHB/zUUE1OB918sp+AJrTAa6+9xtYtWyhq1Q+fK9HuOLXKRMVS2PoisrP3M3nyZLvjKFVjHo+Hvz88DnfRIUafdYhGTusGgivxCE6nk2uuuQan00mJx9rOBx0SPIzskk9mZibPP/98QI9Vk9NBM4HNwD6OP/Lnm7WYyVIbNmxgzpw5uJM71tqMYMHGF5dKWZMeLFq0iP79+9O3b1+7Iyl1Uv/+97/ZsnUbI7sWkBZjbQug2CMMGjSIkSNHYozhP/Otny+4Z6NyLm9ezL8//5wrrriCbt26BeQ4Nbm2PgWIBgqAqcAlxpjfVvnpF5BkFqgccVAiXZQ162N3nIByN+kOznimTZ+O11v/m9SqbjPGMGvGDDoneeiTbH0nsGiHYd68ebzwwgvMnz+faIc9t6Fe2bKERCfMmjUzYMeoyTWBe4EWwEvA/wDbReRVEbkgYKkssnHjRlatWkVJancIj7A7TmCFhVPStCc7tm9n2bJldqdR6oT27t3Lofx8zk22ZxgIl8NQWlrKBx98QGlpKS6bikBUOPRsWMr6desCNuBcje6yNcZ4jTHzjTF/AjpQMR/wEhG5KCCpLPLZZ58hYQ7KG7WzO4olPIktkUgXn332md1RlDqhXbt2AdAkWlutjaO9FBWXcODAgYDsv8ZdLUSkgYjcCSwArgYeA+rssJXGGL759jvcDdLBEWl3HGuEhVOW0IIff1wW1HOeKtW8ecX1uayicJuT2G93YThxMdEkJgbmppWa3B00SET+D1gP9ARGG2PaGWP+YYw5GJBUFsjKyuJAXi7e+KZ2R7GUN74pZWWlrF+/3u4oSh1X48aNSW7UkKXZTnx1d1SIM1biEVYdcNLtrB6EhQWme3RN9joX6Aq8A2QDfxCR8VV/ApIswCo/BL2xqTYnsVbl76uT0KhgJiLcMuRWNh1ysGRPlN1xbDN7czT5buGmm24K2DFqcovom1TcBtooYClssGnTJiTcgc8VnMNDB4qJcCFRsWzcuNHuKEqd0OWXX85Xixfz7qqfaRLtpVOitQOr2W3x7ii+2uPkj3+8lk6dOgXsOCctAsaYIceuE5EU4AJgvTHmpOcVRMQJ/AeI8h/zfWPMIyLSioqJ55OAFcBNxhhL7gfLzNyM15UIUg9GoDpF5a5ENmVm2h1DqRMSEcY9/DD33TuK51Yb7u92mM5JoVEIvsiK4s1NsfTtey7Dhg0L6LFqck0gTUQ+FJENIjJDRLpQcX1gOrBKRK6rwXHKgIuNMWcBPYDLRKQv8BQwyRjTjoo7jm477d/kFPh8PjZt2oTHFVyzhFnFG92QrF27LB2pUKnTkZSUxPOTp5DWrAXPrm7AV7ujCJKpeQPC64N3N0fz5qZYfnPeeYwf/xiRkYG9caUmX4OnU/EBfR8VPYYXAsOMMSnAtcBDJ9uBqVA5cE2E/8cAFwPv+9fPAq46pfSnKSsri5KSYrwxNpzh8rqP6o6O1/qOMN6YRhhj2Lx5s+XHVupUJSYm8vzkKfQ8uzczNsby2oYY3PXwztFDZcKElQ34bKeLwYMH84/x4wNeAKBmReA3wF3GmM+A4UAq8DGAMeYTKjqSnZSIhIvISiouLi8CtgCHjDGV7bssIO04771DRDJEJCMnJ6cmhzuhdevWAeCLTT7jfZ0q8biPdEe//PLLEY/1RcAXU/F7V/47KBXsGjRowIQJT3HzzTfzzV4n/5uRxNb8wN0+2jzWgyvchyvcR8eEcprHBvY0VEZOJA9nJLG92MVDDz3EfffdR0SENR1Ya3JhOKLyPL0xplhECszRXddq1J/PGOMFeohIAvARUN2VjmobesaYV4BXAHr37n3GjcE1a9YgEVH4nIEdorU6xhHJvHnzMMYwf/58jMP6WctMhAtcDfjll1+47rqanM1Tyn7h4eEMHTqUbt268dSEfzJ+uXBli2KubFlS65PL3Ni+mJ2FFR+PD/XKr92dV1FULrydGcN3+6Jo27YN48Y9TKtWrQJ2vOrUpAg4/D2D5TjLp1SOjTGHRGQJ0BdIEBGHvzWQDuw5lX2drpWrVlMenYwt/dHDIyktPsAHH3xQsRxnfSECKI9JYfXqXzDGIHb8Oyh1mvr06cOMmbOYMmUKHy9axIo8J7d1yK9z8wwvz4lgVmY8+e4wbr75Rm666SbLvv1XVZMikA28UWU575jl7JPtQESSgXJ/AXABl1BxUfgr4Boq7hC6BfikhrlPW0FBAVm7duJNOzvQhwpq3thUCnIz2bVr15HemUrVFXFxcYwbN45+/frx/MTneHR5GAOalXB1q2KigryT8aEy4a1NMfyUE0XrVi2ZMGYsHTt2tC1PTW4RbVkLx2kCzBKRcCquQ8wxxswTkXXAbBF5HPgZeL0WjnVCv3YSs/56QDDx+q8LbNiwQYuAqrN++9vf0qNHD6ZPn878+fPJyHUytH1+UN5Kagx8szeKd7fE4sbB7bffyp/+9Cccjpp8Fw8cS45ujFlNxZATx67fCpxjRYZKW7duBSpukwxlPlcDCAs/8u+hVF0VFxfH6NGjueSSS3j2maeZsFK4sEkp17UtJiYiOO4nzS4JY8bGWNYeiKB7t678dfSDQfPly94SZIPdu3z0MUEAABOXSURBVHcjEU5whG5XdKCik5wznqysLLuTKFUrevbsyRszZjJz5kzee+89Vh+saBWc1ci+wRJ9pqLn73tbYgmPdHLffXdxxRVXBGwcoNMRPEksUlhYiIlw2h0jKHjDIykqKrI7hlK1JioqijvvvJPp06eT0LgFz62O57X1MRRbPD0kQE5JGE+vbMCbm2Lp3qs3M2e9yeDBg4OqAEAItgR0Vq1fGQSPJ/jOnSp1ptq3b8/Lr7zKm2++yb/eeYf1h6IY3jmfNg2s+Xtfuj+SGZviEIeTv/7V3ycoSO/CC66SZIHGjRsjpYXU677nNRThLqRJkyZ2x1AqICIjIxk2bBgvTJ1KeHwqj69owLwdgR2auswLr6+P4aW1cbRq14nX35jBoEGDgrYAQAgWgXbt2mF8HsIL99sdxVZSchhTVkjbtm3tjqJUQHXp0oVXX3udC/r1Y86WGF74JY7SADQIckvDeHxFIv/Z5+SGG25gypQX6sSXrJArAhdccAEuVzQR+0N7yITI7HWEhYdzySWX2B1FqYCLi4vj0Uf/wciRI/k5L4rHViSSU1J7H3+Zhx08ujyRHE80//znBG6//Xbbb/2sqZArAi6Xi2uu+X9EHNyO4+B2u+PYIrxgH5HZ6xk4YABJSUl2x1HKEiLCNddcw9PPPMNBE8v4FYlkFZ55z7KfcyOY8HMD4ho2Ydr0l+nbt28tpLVOyBUBgJtvvpm27doRvf07wopy7Y5jKSk5TPTWJTRp0pThw4fbHUcpy/Xu3ZsXX5qGIyaRJ1cmnNFAdEv3RzLll3hat23HS9Om06JFjcbTDCohWQQiIiJ4bPx4kpMSiN20gPCCfZYd2xedhAmPwIRH4IlrjC/aum/iYcUHiNv0KfGuSJ544nGio60fvE6pYNCiRQtemPoisYkpPL0q4bRaBMtzIpi2Lo4uXbsycdLzNGhQN2cpDMkiANCkSROmTn2BJqnJRG9aQMS+tZbcMVTWvC/e6IZ4oxtS0nEgZc2taTo6cjOJ3TCPxLhopr4whdatW1tyXKWCVdOmTXl+8hRccYk8szqBvNKafxxuPOTgpXXxdOzQgaeefoaYmJgAJg2skC0CACkpKUyfNo3f9O2Lc9ePuDZ/gZTXs9m2PGU4t36Na9s3dO/ahZenTw+a7upK2a1x48Y88+xzuMNcPP9LgxpNVpNXGsbkNQ1IbdyUf054CpfLFfigARTSRQAgPj6eJ554gpEjR+Is3Efcmo+IyN5Q9/sRGIMjbyvxaz8k6uA2hgwZwsSJE0lODu2B85Q6VuvWrfn7/z7CjoIw3sk88Td6jw9eXBuPL9zJPyc8RUKCPUPB16aQLwLw610DM2a8QfcuHXHu+J6YjfPr7EXjsJJDRGd+jmvrEtq2bMbLL7/MkCFDCA8P8jF2lbJJ3759+fOf/8xXe5ysyDn+mP7/3uFi8+FwRj84hmbNmlmYMHC0CFTRrFkznn/+ecaMGUOClBGzbi5R275FykvsjlYzHjdRO38kZu3HxLoPMnLkSKZPm0a7du3sTqZU0Bs6dCitW7bkzcx4SjwVU0xWnVZyT1EY/94RTf/+/bnoootsTFq76kZvBguJCAMGDOCCCy7grbfe4v33PyDq0HZKGp9FeWpnCAvCb9PGR0TOJlx7f8aUl3L5wIEMGzaMxMREu5MpVWc4HA4eGD2akSNHMG+HixvbH3198F+bY3G6ohkxYoRNCQNDWwLHERcXx/Dhw5kx4w3OObsXzqyfiFv7EY4D24PqekH44d3ErvsE547v6dqxHa+8/DKjR4/WAqDUaejSpQsXXXQxn++OId/963g/mYcdrM6L4IYbb6p3HSy1CJxEixYteOqpCTzzzDM0T03EtWUx0ZsWElZy0NZcUpqPa/MXRG9aSOO4KMaPH8+UyZNp3769rbmUqutuueUW3F7DF1m/Djk/b4eLhPg4rrrqKhuTBYYlRUBEmonIVyKyXkTWisgo//okEVkkIpn+x6D9+tqnTx/eeP11Ro0aRbw3n5i1HxO1cyl43dYG8XmI3L2CuLUfEVOcze23385bb71Jv379gnqkQqXqihYtWtCnTx/+sy8an4EDZWGszItk0JWD6/ztoNWxqiXgAR4wxnQC+gIjRKQzMBb40hjTDvjSvxy0HA4HV199Ne+88zZXXnEFkdnrLT1FFH54N3FrPyZqz0ouvuh3vP32W9xwww1ERkYG/NhKhZKBAy/nQCmsP+jgh32RGAMDBgywO1ZAWDXH8F5gr/95gYisB9KAwcDv/JvNApYAY6zIdCYSEhK4//77ueyyy3jm2WfZtmUxnsTmlLY4HxMRgG8KHjfOnUuJyNtMk6Zp/PWBRzj77LNr/zhKKQDOPfdcIhzhrMqLZEeBg9atWpKWlmZ3rICw/JqAiLSkYtL5H4FUf4GoLBQpx3nPHSKSISIZOTk5VkU9qc6dO/PqK69w5513ElWwh7h1H9f6yKTh+RX7jTq4lRtvvJGZM97QAqBUgLlcLrp1787qA1Fsyo+gzznn2h0pYCwtAiISC3wA3GuMya/p+4wxrxhjehtjegdbj1eHw8H111/Pa6++Spvm6bg2LyZqxw/gO8NpLI2PyKzlRG9cQFpyAi+++CLDhg0jKiqqdoIrpU6oU6fO7CkKw+uDTp062R0nYCwrAiISQUUBeMcY86F/9X4RaeJ/vQmQbVWe2taqVSumT5/GH//4RyKz1xOz8VPEfZqTuHtKid70OVF7VzFgwABef+21ev1HqFQwqjrrXps2bWxMElhW3R0kwOvAemPMxCovzQVu8T+/BfjEijyB4nA4GD58OOPHjyfaW0jshnmEFR84pX1IaT5xG+YTVZzDgw8+yJgxY3A6nSd/o1KqVjVu3PjI89TUVBuTBJZVLYHzgZuAi0Vkpf9nIDABuFREMoFL/ct1Xr9+/Xhx6lSSYp3Ebvy0xvMVhBUfIG7DfGLCfUyaNJGBAwcGOKlS6nhSUn69RFmf78Cz6u6gb4Hj3cTe34oMVmvTpg3Tp03jvvvvZ8/mLyhsfxm+mEYA1U4kIyWHic1cSGJ8NM9PmqTDPStls7i4OLsjWEJ7DAdQSkoKkyZOJLlhErGZnyNlBUDFxDJVJ5OR8lJiMxcS54rSAqBUkKjP3/6r0iIQYCkpKUx87lmcjjCit3wFPs/RGxgfrq1LcHjLePqpCVoAlFKW0iJggfT0dMaNe4iwolwi964+6rWInI2E5+/h3ntH0bFjR5sSKqVClRYBi1xwwQVcfPHFOPf9cuS0kJSX4tq9gp49e3H55ZfbnFApFYq0CFjorrvuIixMiNy3BoCI7PUYTxl33z1SB39TStlCi4CFkpOTuaR/f6LyNoOnjKjcjZxzzjm0bt3a7mhKqRClRcBiAwYMwHjLidq7CtzFXHbZZXZHUkqFMJ1e0mJdu3bF6YqGfWsICwujT58+dkdSSoUwbQlYzOFw0LFDxexf6c2ahUyHFKVUcNIiYIPKawBt9FqAUspmWgRsUDkcdmxsrM1JlFKhTouADXRUUKVUsNAioJRSIUyLgI20g5hSym5aBGygH/5KqWChRcBGWgyUUnbTImAjY4zdEZRSIc6qOYbfEJFsEVlTZV2SiCwSkUz/Y6IVWZRSSv3KqpbATODYQXLGAl8aY9oBX/qXQ4qeDlJK2c2SImCM+Q9w4JjVg4FZ/uezgKusyBJM9HSQUspudl4TSDXG7AXwP6Ycb0MRuUNEMkQkIycnx7KAgaItAKVUsKgTF4aNMa8YY3obY3pXDrmglFLqzNlZBPaLSBMA/2O2jVmUUiok2VkE5gK3+J/fAnxiYxallApJVt0i+i7wA9BBRLJE5DZgAnCpiGQCl/qXQ4JeEFZKBQtLZhYzxlx/nJf6W3H8YKUXiJVSdqsTF4brK20RKKXspkXARtoSUErZTYuADSo//LUloJSymxYBG+iHv1IqWGgRUEqpEKZFQCmlQpgWARvphWGllN20CNig8pqAz+ezOYlSKtRpEbBBUVGR3RGUUgrQImCL3NxcAA4fPmxzEqXU8YTKXXxaBGywe/du/+Mem5MopY7H7XbbHcESWgRssHXbdgB27tqJ1+u1N4xSqlolJSV2R7CEFgGLFRQUkJebg9fZgHK3+0irQCkVXELl2p0WAYtt3LgRgPLkDkctK6WCS2Fh4ZHn9bnFrkXAYuvXrwegvFFbJNxxZFkpFVyqtgSKi4ttTBJYWgQstn79enAlgMOJJ7oR69atszuSUqoaVYtA1VZBfaNFwGIbN2VS7koCwBvdkC1bt2qnMaWCkLYELCIil4nIRhHZLCJj7c4TSMXFxeTl5uBzJQLgcyVS7nazd+9em5MppY5VWlpa7fP6xtYiICLhwIvAAKAzcL2IdLYzUyDl5OQA4IuKPeqxcr1SKniUlZUdea5FIHDOATYbY7YaY9zAbGCwzZkCprKHsHE4/Y9RAOTn59uWSSlVvap3BNXnU7Z2F4E0YFeV5Sz/uqOIyB0ikiEiGXX5W/PxRg3V0USVCj5Vh43QIhA41X36/deAHcaYV4wxvY0xvZOTky2IFRhRURXf/MVXXvHo9QAQGRlpWyalVPXCw8OPPHc4HDYmCSy7i0AW0KzKcjpQbwfUqSxg4i466rEuFzal6quqH/wRERE2Jgksu4vAT0A7EWklIpHAdcBcmzMFTEJCAq7oaMJKKq4NhJUeQkRo2rSpzcmUUsdyuVzVPq9vbC0CxhgPMBJYCKwH5hhj1tqZKZBEhLZt2uAoOQBAWPEBmqal4XQ6bU6mlDpWqBQB2090GWM+BT61O4dVOnXqxJq168HnJbI4l859zrc7klKqGjExMdU+r2/sPh0Ucjp16oTxeXAczsK4i+nUqZPdkZRS1YiNjT3yXIuAqjUdO3YEICJ7w1HLSqngUrUI1Oc7+LQIWKxx48ZEx8TgyN+NiNCmTRu7IymlqlGfv/1XpUXAYiJCy5YtAUht3ORI3wGlVHCJjo62O4IltAjYoFl6OgAtmjc7yZZKKbuEyl17WgRskJZWMTKG9g9QKniFhYXGx6Ptt4iGoquvvpq0tDR69epldxSl1AnEREfTtl07u2MElFQdJKku6N27t8nIyLA7hlIqBBQUFBAZGVkvrt2JyHJjTO9j12tLQCmljiMuLs7uCAEXGie9lFJKVUuLgFJKhTAtAkopFcK0CCilVAjTIqCUUiFMi4BSSoUwLQJKKRXC6lxnMRHJAXbYnaMeaQTk2h1CqWro32btamGM+a8JzetcEVC1S0QyqutFqJTd9G/TGno6SCmlQpgWAaWUCmFaBNQrdgdQ6jj0b9MCek1AKaVCmLYElFIqhGkRUEqpEKZFIESJyGUislFENovIWLvzKFVJRN4QkWwRWWN3llCgRSAEiUg48CIwAOgMXC8ine1NpdQRM4HL7A4RKrQIhKZzgM3GmK3GGDcwGxhscyalADDG/Ac4YHeOUKFFIDSlAbuqLGf51ymlQowWgdAk1azTe4WVCkFaBEJTFtCsynI6sMemLEopG2kRCE0/Ae1EpJWIRALXAXNtzqSUsoEWgRBkjPEAI4GFwHpgjjFmrb2plKogIu8CPwAdRCRLRG6zO1N9psNGKKVUCNOWgFJKhTAtAkopFcK0CCilVAjTIqCUUiFMi4BSSoUwLQJKASIyXUT+XsNtl4jIsEBnUsoKWgRUSBCR7SJSIiIFInJIRL4Xkb+ISBiAMeYvxpjHLMihBUQFFS0CKpRcYYyJA1oAE4AxwOv2RlLKXloEVMgxxhw2xswF/gTcIiJdRWSmiDwOICKJIjJPRHJE5KD/efoxu2kjIstE5LCIfCIiSZUviEhff0vjkIisEpHf+dc/AfwWmCoihSIy1b++o4gsEpED/ol+/lhlXwNFZJ2/BbNbRP4a2H8dFWq0CKiQZYxZRsVger895qUwYAYVLYbmQAkw9ZhtbgaGAk0BDzAFQETSgPnA40AS8FfgAxFJNsaMA74BRhpjYo0xI0UkBlgE/AtIAa4HXhKRLv7jvA7c6W/BdAUW19KvrxSgRUCpPVR8WB9hjMkzxnxgjCk2xhQATwAXHvO+t4wxa4wxRcDfgT/6Z2y7EfjUGPOpMcZnjFkEZAADj3P8QcB2Y8wMY4zHGLMC+AC4xv96OdBZROKNMQf9rytVa7QIqFCXxjGzWIlItIi8LCI7RCQf+A+Q4P+Qr1R1Up4dQATQiIrWw7X+U0GHROQQcAHQ5DjHbwGce8z2NwCN/a//PyoKyA4R+VpEzjuzX1epoznsDqCUXUSkDxVF4Fvg3CovPQB0AM41xuwTkR7Azxw9GU/V+RiaU/GNPZeK4vCWMeb24xz22BEbdwFfG2MurXZjY34CBotIBBUjv8455thKnRFtCaiQIyLxIjKIirmV3zbG/HLMJnFUXAc45L/g+0g1u7lRRDqLSDQwHnjfGOMF3gauEJE/iEi4iDhF5HdVLizvB1pX2c88oL2I3CQiEf6fPiLSSUQiReQGEWlgjCkH8gFvrf1DKIUWARVa/i0iBVR8+x4HTARurWa75wEXFd/slwILqtnmLWAmsA9wAvcAGGN2AYOBh4Ac/7FG8+v/tcnANf67jqb4rzn8noqJffb49/cUEOXf/iZgu/+01F+ouOagVK3R+QSUUiqEaUtAKaVCmBYBpZQKYVoElFIqhGkRUEqpEKZFQCmlQpgWAaWUCmFaBJRSKoRpEVBKqRD2/wEfU6cigj14RQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 小提琴图：可视化数据的分布状态以及密度(频率)\n",
    "# “BMI(体重指数)”、“Outcome(是否发病)”和“样本数量(频率)”关系\n",
    "sn.violinplot(x='Outcome', y='BMI', hue='Outcome', data=datas)\n",
    "plt.xlabel('Diabetes', fontsize=12)\n",
    "plt.ylabel('BMI', fontsize=12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1fb975eb9c8>"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 分组统计BMI频率：fillna(0) — 0填充确实数据\n",
    "BMIDF = datas.groupby(['BMI', 'Outcome'])['BMI'].count().unstack('Outcome').fillna(0)\n",
    "# Dataframe.plot修改画布大小\n",
    "BMIDF[[0,1]].plot(kind='bar', stacked=True, figsize=(15,7))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'frequency')"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# “DiabetesPedigreeFunction(糖尿病家系作用)”与“样本数量(频率)”的直方关系图\n",
    "sn.distplot(datas.DiabetesPedigreeFunction, kde=False)\n",
    "plt.xlabel('DiabetesPedigreeFunction')\n",
    "plt.ylabel('frequency')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1fb9e00fdc8>"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 分组统计DiabetesPedigreeFunction频率：fillna(0) — 0填充确实数据\n",
    "DF = datas.groupby(['DiabetesPedigreeFunction', 'Outcome'])['DiabetesPedigreeFunction'].count().unstack('Outcome').fillna(0)\n",
    "DF[[0,1]].plot(kind='bar', stacked=True, figsize=(15, 7))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'frequnecy')"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# “Age(年龄)”与“样本数量(频率)”的直方关系图\n",
    "sn.distplot(datas.Age, kde=False)\n",
    "plt.xlabel('Age')\n",
    "plt.ylabel('frequnecy')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1fba0a2de88>"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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4nfGPkjykqlYN77MuyTenK26tnd1a29Ba27B27dp5aBkAAGD5mTGctdb+a2ttXWttfZIXJrmstXZ8ko8mOWZ4txOTXLxgXQIAACxz43zO2e8keVVVfSWD96C9bX5aAgAAWHlWzXyXn2itfSzJx4bXr0/yxPlvCQAAYOUZ58gZAAAA80Q4AwAA6IBwBgAA0AHhDAAAoAPCGQAAQAdmNVvjsnP6mhnW37rD1etvP3+H6zfPsh0AAGDlcuQMAACgA8IZAABAB4QzAACADghnAAAAHRDOAAAAOiCcAQAAdEA4AwAA6IBwBgAA0AHhDAAAoAPCGQAAQAeEMwAAgA4IZwAAAB0QzgAAADognAEAAHRg1aQbYIk7fc0M629dnD4AAGCJc+QMAACgA8IZAABAB4QzAACADghnAAAAHTAhyAStv/38Ha7fvDhtAAAAHXDkDAAAoAPCGQAAQAeEMwAAgA4IZwAAAB0wIchSdvqaGdbfujh9AAAAY3PkDAAAoAPCGQAAQAeEMwAAgA4IZwAAAB0wIchKZkIRAADohiNnAAAAHRDOAAAAOiCcAQAAdEA4AwAA6MCKnhBk/e3n73D95sVpAwAAwJEzAACAHswYzqpqdVVdXlWfq6qrqur3hsv3qapPVdV1VfWXVXW/hW8XAABgeRrlyNm/JHlGa+3gJIckeXZVHZbkD5Kc1VrbP8ktSV6ycG0CAAAsbzOGszZw2/DmLsNLS/KMJO8ZLj8nydEL0iEAAMAKMNJ7zqpq56q6MslNSS5J8tUk32+t3TW8y5YkP7ed2lOqalNVbdq6det89AwAALDsjBTOWmt3t9YOSbIuyROTPGa6u22n9uzW2obW2oa1a9fOvVMAAIBlbFazNbbWvp/kY0kOS/KQqrp3Kv51Sb45v60BAACsHKPM1ri2qh4yvH7/JL+c5OokH01yzPBuJya5eKGaBAAAWO5G+RDqvZOcU1U7ZxDmLmqtfbCqvpTkwqp6fZLPJnnbAvYJAACwrM0Yzlprn0/yC9Msvz6D95/B3J2+Zob1ty5OHwAAMGGzes8ZAAAAC0M4AwAA6IBwBgAA0AHhDAAAoAPCGQAAQAeEMwAAgA4IZwAAAB0QzgAAADognAEAAHRAOAMAAOiAcAYAANAB4QwAAKADwhkAAEAHhDMAAIAOCGcAAAAdEM4AAAA6IJwBAAB0QDgDAADogHAGAADQgVWTboC5W3/7+Ttcv3mF9AAAAMuBI2cAAAAdEM4AAAA6IJwBAAB0QDgDAADogAlBVjCTeSQ5fc0M629dnD4AAFjxHDkDAADogHAGAADQAeEMAACgA8IZAABAB4QzAACADghnAAAAHRDOAAAAOiCcAQAAdEA4AwAA6MCqSTcAsKKdvmaG9bcuTh8AwMQ5cgYAANAB4QwAAKADwhkAAEAHhDMAAIAOmBCEpc1kCgAALBOOnAEAAHRgxnBWVQ+vqo9W1dVVdVVVvWK4fLequqSqrht+fejCtwsAALA8jXLk7K4kr26tPSbJYUleWlWPTXJakktba/snuXR4GwAAgDmYMZy11r7VWrtieP2HSa5O8nNJjkpyzvBu5yQ5eqGaBAAAWO5m9Z6zqlqf5BeSfCrJXq21byWDAJdkz+3UnFJVm6pq09atW8frFgAAYJkaOZxV1QOTvDfJb7XWfjBqXWvt7NbahtbahrVr186lRwAAgGVvpHBWVbtkEMzOa629b7j4O1W193D93kluWpgWAQAAlr9RZmusJG9LcnVr7Y1TVn0gyYnD6ycmuXj+2wMAAFgZRvkQ6iOSnJDkC1V15XDZf0tyZpKLquolSW5IcuzCtAgAALD8zRjOWmufSFLbWb1xftsBVpTT18yw/tbF6QMAoAOzmq0RAACAhSGcAQAAdEA4AwAA6IBwBgAA0IFRZmsEoFcmVQGAZcORMwAAgA4IZwAAAB0QzgAAADognAEAAHTAhCAwSSZzAABgyJEzAACADghnAAAAHRDOAAAAOiCcAQAAdEA4AwAA6IDZGpmo9befv8P1mxenjblb6bMtTvrxz7T/xegBAGCeOHIGAADQAeEMAACgA8IZAABAB4QzAACADpgQhCVtyU8oAivdpCeVAYCOOHIGAADQAeEMAACgA8IZAABAB4QzAACADpgQBJYykykAACwbjpwBAAB0QDgDAADogHAGAADQAeEMAACgAyYEASZm/e3n73D95sVpYzxLfVIW/QNANxw5AwAA6IBwBgAA0AHhDAAAoAPCGQAAQAdMCAKsbCaUAAA64cgZAABAB4QzAACADghnAAAAHRDOAAAAOmBCEFa09befv8P1mxenDZgzYxgAlo8Zj5xV1dur6qaq+uKUZbtV1SVVdd3w60MXtk0AAIDlbZTTGt+Z5NnbLDstyaWttf2TXDq8DQAAwBzNGM5aa3+f5HvbLD4qyTnD6+ckOXqe+wIAAFhR5johyF6ttW8lyfDrnvPXEgAAwMqz4BOCVNUpSU5Jkkc84hELvTtYUcaeDOL0NTOsv3U27QAAMIa5Hjn7TlXtnSTDrzdt746ttbNbaxtaaxvWrl07x90BAAAsb3MNZx9IcuLw+olJLp6fdgAAAFamUabSvyDJPyZ5dFVtqaqXJDkzyTOr6rokzxzeBgAAYI5mfM9Za+247azaOM+9AAAArFgLPiEIQM/GnlRlie8fAOjHXN9zBgAAwDwSzgAAADognAEAAHRAOAMAAOiACUEAmLvT18yw/tbF6WMlG/d7MOl6AO7jyBkAAEAHhDMAAIAOCGcAAAAdEM4AAAA6YEIQGMP628/f4frNC1zP5PkejsfzB2MyIQssK46cAQAAdEA4AwAA6IBwBgAA0AHhDAAAoAMmBAHmbNKTOcy0/8XogckaewyaTGHp8z0ElhFHzgAAADognAEAAHRAOAMAAOiAcAYAANABE4LACjbpCT1gyZuPyShW+oQWHv8M65fA418OjwE64cgZAABAB4QzAACADghnAAAAHRDOAAAAOmBCEACYI5PqLAMTnsxi3DFkDGbs7+H60z60w/Wbz3zebDtaXCZkWVYcOQMAAOiAcAYAANAB4QwAAKADwhkAAEAHTAgCwJyZjGDyTCgxnrEf/3KYjGHcCTVW+Bga18QnJFkOY3gZceQMAACgA8IZAABAB4QzAACADghnAAAAHTAhCMAKttLfyN/D4++hh6XM87cMmJBkLEt9UqCZJkRJFmFSlI44cgYAANAB4QwAAKADwhkAAEAHhDMAAIAOmBAEAJizpT4ZwbiWev/J5B/DpPc/rpkmtFjuk1l08fjHnVRmzMcwn8+BI2cAAAAdGCucVdWzq+qaqvpKVZ02X00BAACsNHMOZ1W1c5I/SfKcJI9NclxVPXa+GgMAAFhJxjly9sQkX2mtXd9auyPJhUmOmp+2AAAAVpZqrc2tsOqYJM9urf368PYJSZ7UWjt1m/udkuSU4c1HJ7lmB5vdI8l359SQ+h7qe+hB/cqu76EH9eqNYfVLub6HHtSrX+5j+N+01tZOu6a1NqdLkmOT/PmU2yck+eO5bm+4jU3ql259Dz2oX9n1PfSgXv049T30oH5l1/fQg3r149T30MM49eOc1rglycOn3F6X5JtjbA8AAGDFGiecfTrJ/lW1T1XdL8kLk3xgftoCAABYWeb8IdSttbuq6tQkf5tk5yRvb61dNWY/Z6tf0vU99KB+Zdf30IN69eOadA/qV3Z9Dz2oVz+uSfcw5/o5TwgCAADA/BnrQ6gBAACYH8IZAABAB4QzAACADghn86iq9pzw/nef5P4BYNK8FjNpxiDj6DKcVdXfjHCfB1fV/6yqd1XVf9hm3VtHqP/ZqvrTqvqTqtq9qk6vqi9U1UVVtfcI9bttc9k9yeVV9dCq2m2E+mdPub6mqt5WVZ+vqvOraq8R6s+sqj2G1zdU1fVJPlVVX6+qp45Qf0VV/W5VPXKm+26nfkNVfbSq/qKqHl5Vl1TVrVX16ar6hRHqH1hVv19VVw3rtlbVP1XVSSPuf1VV/UZVfXj4vH2uqv6mqv5TVe0yl8e0zfZnnGWnqnYe9vA/quqIbdb97gj1D6iq11TVf6mq1VV1UlV9oKr+sKoeOMe+r53FfQ+acn2X4Xj4QFWdUVUPGKH+1CljcL+q+vuq+n5VfaqqDhyh/n1V9R/HeKz7VtXbq+r1w/H0v6vqi1X17qpaP0L9TlV1clV9aDh+PlNVF1bV00bc/4KNwaU6/obbNQYXbwyuqcFrwZer6ubh5erhsofM5TFts32vxTPXr/TX4gUbg6OMv+H9jEFjcM5jcNzxM8O25zRj48TCWVUdup3L45McMsIm3pGkkrw3yQur6r1Vtetw3WEj1L8zyZeS3Jjko0l+nOR5Sf4hyf87Qv13k3xmymVTkp9LcsXw+kzOmHL9/0nyrSRHZvD5cX82Qv3zWmvfHV7/v5P8+9bafkmeOdzeTB6a5CFJPlpVl1fVK6vqYSPU3eutSf4wyYeS/H9J/qy1tibJacN1MzkvyfVJfiXJ7yV5c5ITkjy9qs7YUeHQuzIYJ6cneW4G37vfS3Jwkr8Y5QFM8wt16i/W546wiT9L8tQkNyd5c1W9ccq6F4xQ/84keyXZJ4PncUOS/5XBuP7TEfr/YVX9YHj5YVX9MMkj710+4v7vdWaS/TIYO/fPaD8DvzllDL4pyVmttYck+Z0R65+U5OgkNwxfBH+tBp+ZOKp3ZvDzcluSf0ry5STPSfLhJG8fof5tSR6R5H9m8DvgQ8Nlv1tVLxuhfqwxuNTH3/AxGIOTHYMXJbklydNaa7u31nZP8vThsneP8gC8FnstznivxWONwXkYf4kxaAyO93twrPEzD6/lP621NpFLkruTXJbBD8K2lx+PUH/lNrdfm+STSXZPcsUI9Z+dcv2GHW17O/W/ncEL8IFTln1tFo//iu3tb8T9fznJquH1f9pm3Rdmuf9fzOAH6NvD5/+UMZ+/z45Q/7ltbn96+HWnJF8eof6aHay7dhZj8PokX5tyuff2HSPUf37K9VUZfKbF+5LsOuJzcOXwaw2f+5py+/Mj1P9xknOT7DXHMTj1e3hlkl1muf9rplz/9Paem5n2n+RBGfwi/uskWzP4RfmsRRiDn9/m9j8Nv+6a5OqFHoNLffwZg92Pwe2um2Ycei2e/rF4LV7gMTju+DMGjcF5GIPjjp+xXsunu8z5Q6jnwdVJfqO1dt22K6rqxhHqd62qnVpr9yRJa+0NVbUlyd8nGeUUlalHDc/dZt3OMxW31v5XVV2Y5Kxhv69L0kbY7732rKpXZfBHyIOrqtrwu5zRjmj+SZK/rqozk3y4qv4ogz/MNmbwR87IWmv/kOQfhv+pfWaSf5+ZPzzv9qp6VpI1SVpVHd1a+6saHEK/e4Td/nNVPaW19omqOjLJ94a93FNVNUL9LVV1bJL33jsGqmqnJMdm8N+SUVyfZGNr7YZtV4w4Bu/7D3tr7a4kp1TV6zJ4oRn5NKnWWquqv773+z+8PeNYaq29bPjfxQuq6q+SvCWzG4NrquoFGYzBXVtrd85m/0neU1XvTPL7Sd5fVb+Vn4zBn3pOp3sIw/39MIOjUO+qwSkg/y6D/7h9ZIb6e6rqURn8x+8BVbWhtbapqvbLCD/DSe6sqke21r5aVYcmuWPYz7+M+PjHHYNLevwN7zsfY/DXMvidt5TH4JpMZgx+vapek+Sc1tp3kqQGp0GdlMFRgFH0/Fo842uh1+KJvxaPOwbHHX+JMTjuGLzv+7xCx+C442fc1/KfNpdENx+XJMckefR21h09Qv0fJvnlaZY/O8l1I9T/fpIHTrN8vyTvmeVjOTKDU1q+PYua121zWTtc/rNJzh1xG09L8pdJPpvkCxn81/eUDP/7PEPthWN+/w5O8rdJ/ibJz2dwStH3k1yV5Mkj1l8+rPnEvWMhydokLx+hfv3wsd+U5Nrh5abhsn1GfAwvTXLwdta9bIT6v0jy7GmW/3qSO0eo//PtjMFHJvnELL4XOyV5eQanYHxzFnXv2Oay15QxeOmI2zgpyacyOK3jhxmcGnJGkjUj1P79mGNwY5JrMnhxf0oGpyRcNxwHR41Q/4wM/oC/NoP/cD1pyhj8w1mMwa3Dbdy775HG4HIZf2OOwXfOwxh8cdInnFgAAAa8SURBVKdjcJTXsXvH4HXDMXjYLMfgQ5P8QQb/Ob8lgz9qrh4u223Ex+C1eGm/Fh+Sn34tviWD1+IjRqjf9rX4UVPG4CivxWONwXHHnzHYxRic7u/B2YzBgyY8BscdP2O9lk9bN843ZNzL8Ju4cdsfikzzB8cs65+z2PvP4D0Sj5un/pdK/WPmof6Xx6h/UpInZnDo+SkZnFrw3FmOwScmecLw+mOTvGo221ig+udleIrZLOt/Mcl/n+X+nzSP/R+Q5NWL/Pw9aZv9z2oMJDl8nP1P2c7uSfZI8hezrd1mOyO9EC90/ajjb5r6vZPcPOHH8K4J7/+DSXaaxf0ryR7zsf/h74BXZ4RTMnewjacMfw7mtI0O6n8xye9OeP9z/h4stf0PfwevGV5/QAZB54MZ/GE8yj9InpTkwcPr9x/W/59R66fpYdbbmKaH3xuj/gEZ/LH/d7Os3/Y5HGf/i/o92M7zP9v9T338s33+X57k4XMZ7/NUv2uSF2UY8JL8hwzOInlpRgjH013ufY/Boquqlw8bvzqD//y8orV28XDdFa21Q2eof1mSUydYP+n+e9j/f87gPxWTqH9dBm+8X5Xkkgz+yP94BmHvb1trb9hR/Xa28aQkHxt1Gx3Wz+o56LB+qT3+D0yz+BkZnFaY1trzZ1lfGbyJeUnUb2cbyXjPwaTrx30Ox93/bOsvb609cXj91zN4TfirJM9K8n9aa2fuqH6abfxfw228f9RtdFj/nzOL52Ca5/DUMfY/6+/BMnj8V2Vw1OCuGsxM988ZHEHeOFy+w8mJpqn/UZL3jFo/H9tYgPpFfQ7sv24d7vOrSc5P8u72kwlSZrRN/QXD+q2zqD8vg78jHpDB0b8H5ienlVZr7cRRt3WfuSbFcS8ZHHZ94PD6+gxmtHnF8PYobyBUr37nDH4YfpB//V+fUSczGGsb6ld8/RUZnFr4tAxmTXxaBrNsPTXJU0eo/+xSru/kOZj0/ideP+X6p/OT06F+JiNMBDAf21C/4uuvnnL9im3WjTKZxVj1PfSgfuL1n83g1PpnZTDb7dYMJmg5McmDFqH+88Ovq5J8J8nOw9sjT6617WWSn3O2c2vttiRprW3O4EXpOTWYDnqUNwCqX9n1d7XW7m6t/SjJV1trPxhu68dJ7hmhfj62oX5l12/IYNrk1ya5tbX2sQxmF/t4a+3jI9Q/fonXJ5N/Dia9/0nX71SDz1LaPYP/0G5NktbaPye5a4T6+diG+pVd/8WqevHw+ueqakOS1GCinDsXob6HHtRPtr611u5prX2ktfaSJA/LYMbJZ2cwWcdC1+9Ug49geVAG/+xdM1y+a5K5febpbNPcfF0yOG3jkG2Wrcpgppy71aufof5TSR4wvL7TlOVrMsLUp/OxDfUru37K/ddl8Fkqb8k20wivhPoeelip9Uk25ydTNl+f5GeHyx+Y0Y86jLUN9Su+fk0GE/t8NYPfqXcOt/PxbGeShPms76EH9ROv3+7ZVknuvwj1rxz2+/UM3r92aZL/ncHZOa8bZQxve5nke87WZfCf629Ps+6I1ton1avfQf2urbV/mWb5Hkn2bq19YUf187EN9Su7fpq652UwM9V/m03dcqnvoYeVXj9lOw/IYObLr01qG+pXVn1VPSjJvhn8k3VLG05pPov9jVXfQw/qJ1NfVY9qrV07m33NZ/1wGw9LktbaN6vqIRm8d/2G1trlc9repMIZAAAAPzHJ95wBAAAwJJwBAAB0QDgDYFmpql+rqlZVPz/pXgBgNoQzAJab45J8IskLJ90IAMyGcAbAslFVD0xyRJKXZBjOqmqnqnprVV1VVR+sqr+uqmOG6x5fVR+vqs9U1d9W1d4TbB+AFU44A2A5OTrJh4dTI3+vqg5N8oIk65McmOTXkxyeJFW1S5I/TnJMa+3xSd6e5A2TaBoAksFnCQDAcnFckj8aXr9weHuXJO9urd2T5NtV9dHh+kcneVySS6oqSXZO8q3FbRcAfkI4A2BZqKrdkzwjyeOqqmUQtlqS92+vJMlVrbXDF6lFANghpzUCsFwck+Tc1tq/aa2tb609PMnXknw3yb8dvvdsryRPG97/miRrq+q+0xyr6oBJNA4AiXAGwPJxXH76KNl7kzwsyZYkX0zyZ0k+leTW1todGQS6P6iqzyW5MsmTF69dAPjXqrU26R4AYEFV1QNba7cNT328PMkRrbVvT7ovAJjKe84AWAk+WFUPSXK/JP9DMAOgR46cAQAAdMB7zgAAADognAEAAHRAOAMAAOiAcAYAANAB4QwAAKADwhkAAEAH/n8YKEZUapbV7AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 分组统计Age频率：fillna(0) — 0填充确实数据\n",
    "DF = datas.groupby(['Age', 'Outcome'])['Age'].count().unstack('Outcome').fillna(0)\n",
    "DF[[0,1]].plot(kind='bar', stacked=True, figsize=(15, 7))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1fba2da3c48>"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 数据探索：变量之间的相关性\n",
    "plt.figure(figsize=(13, 9))\n",
    "corrMatt = datas.corr().abs()\n",
    "mask = np.array(corrMatt)\n",
    "mask[np.tril_indices_from(mask)] = False\n",
    "sn.heatmap(corrMatt, mask=mask, vmax=.8, square=True, annot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
